Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178D28231A0103A3F129B93DABB51F72FA2E3924DD786081542FD835E4B97ED0DE1352A |
|
CONTENT
ssdeep
|
768:3qSFy5NgNQruB9frZdg/7sOy2+y9BH4c1Ie:AuB9fr4/7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373fc2ecd2c80c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0808ccc0c80d0f00 |
|
VISUAL
wHash
|
00ece0203c07ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0480a00458988000,8408ccc0c8cccd0f |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 8 techniques to evade detection by security scanners and make reverse engineering more difficult.